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muapi-nano-banana (Generative-Media-Skills) — agentic threat model

7.2AIVSS 7.2 · High

The muapi-nano-banana agent is a low-autonomy generative media skill whose primary risks stem from authenticated outbound API calls (financial exposure via paid MuAPI) and local file-writing capabilities.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.5AARS uplift 0.74Factor sum 2.1/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.30
Goal-Driven Planning
0.10
Self-Modification
0.00
Dynamic Tool Use
0.20
Persistent Memory
0.00
Contextual Awareness
0.10
Dynamic Identity
0.10
Multi-Agent Interactions
0.20
Non-Determinism
0.60
Opacity & Reflexivity
0.50

Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.

MAESTRO 7-layer threat model

Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.

L1 · Foundation Models✓ mapped

Uses the Nano Banana (Gemini image) model. Primary threats include adversarial prompt injection to bypass safety filters (generating inappropriate/copyrighted content) and model output non-determinism.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — No explicit RAG, vector database, or training data operations are described. If input images are processed, there may be temporary data handling or privacy risks.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework is unspecified. The primary risk at this layer is insecure tool integration regarding how the MuAPI client handles parameters and writes output files.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Hosting and sandboxing details are omitted. Key threats include the exposure of MuAPI authentication secrets and potential directory traversal vulnerabilities during image file-writing operations.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No evaluation, guardrails, or observability mechanisms are mentioned, creating blind spots for tracking API usage, cost anomalies, or abusive generation requests.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — While it makes authenticated outbound calls, the specific authorization policies, audit logging, and compliance controls are not detailed.

L7 · Agent Ecosystem✓ mapped

As 'one of the muapi-* media skills', it operates within a broader ecosystem. Threats include unauthorized chain-of-agent invocations or cascading failures if a parent orchestrator is compromised.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).